Funding, Deals & Partnerships: BIOLOGICS & MEDICAL DEVICES; BioMed e-Series; Medicine and Life Sciences Scientific Journal – http://PharmaceuticalIntelligence.com
Clarivate was formed in 2016, following the acquisition of Thomson Reuters‘ Intellectual Property and Science business by Onex Corporation and Baring Private Equity Asia. Clarivate has acquired various companies since then, including, notably, ProQuest in 2021.
Clarivate (formerly CPA Global) was formerly the Intellectual Property and Science division of Thomson Reuters. Before 2008, it was known as Thomson Scientific. In 2016, Thomson Reuters struck a $3.55 billion deal in which they spun it off as an independent company, and sold it to private-equity firms Onex Corporation and Baring Private Equity Asia.
June 1, 2017: Publons, a platform for researchers to share recognition for peer review.
April 10, 2018: Kopernio, AI-tech startup providing ability to search for full-text versions of selected scientific journal articles.
October 30, 2018: TrademarkVision, provider of Artificial Intelligence (AI) trademark research applications.
September 9, 2019: SequenceBase, provider of patent sequence information and search technology to the biotech, pharmaceutical and chemical industries.
December 2, 2019: Darts-ip, provider of case law data and analytics for intellectual property (IP) professionals.
January 17, 2020: Decision Resources Group (DRG), a leading healthcare research and consulting company, providing high-value healthcare industry analysis and insights.
June 22, 2020: CustomersFirst Now, in intellectual property (“IP”) software and tech-enabled services.
October 1, 2020: CPA Global, intellectual property (“IP”) software and tech-enabled services.
December 1, 2021: ProQuest, software, data and analytics provider to academic, research and national institutions.[27]It was acquired for $5.3 billion from Cambridge Information Group in what was described as a “huge deal in the library and information publishing world”. The company said that the operational concept behind the acquisition was integrating ProQuest’s products and applications with Web of Science. Chairman of ProQuest Andy Snyder became the vice chairman of Clarivate. The Scholarly Publishing and Academic Resources Coalition, an advocacy group for open access to scholarship, voiced antitrust concerns. The acquisition had been delayed mid-year due to a Federal Trade Commission antitrust probe.
We are a leading global information services and analytics company serving the scientific research, intellectual property and life sciences end-markets. We provide structured information and analytics to facilitate the discovery, protection and commercialization of scientific research, innovations and brands. Our product porfolio includes well-established market-leading brands such as Web of Science, Derwent Innovation, Life Sciences, CompuMark and MarkMonitor (which they later divested). We believe that the stron balue proposition of our content, user interfaces, visualization and analytical tools, combined with the integration of our products and services into customers’ daily workflows, leads to our substantial customer loyalty as evidenced by their willingness to renew subscriptions with us.
Our structure, enabling a sharp focus on cross-selling opportunities within markets, is comprised of two product groups:
Science Group: consists of Web of Science and Life Science Product Lines
Intellectual Property Group: consists of Derwent, CompuMark and MarkMonitor
Corporations, government agencies, universities, law firms depend on our high-value curated content, analytics and services. Unstructured data has grown exponentially over the last decade. The trend has resulted in a critical need for unstructured data to be meaningfully filtered, analyzed and curated into relvent information that facilitates key operational and strategic decision making. Our highly curated, proprietary information created through our sourcing, aggregation, verification, translation, and categorization (ONTOLOGY) of data has resulted in our solutions being embedded in our customers’ workflow and decision-making processes.
Overview of Clarivate PLC five year strategy in 2019. Note that in 2019 the Science Group accounted for 56.2% of revenue! This was driven by their product Cortellis!
Figure. Overview of Clarivate PLC five year strategy in 2019. Note that in 2019 the Science Group accounted for 56.2% of revenue! This was driven by their product Cortellis!
Also Note nowhere in the M&A Discussion in years before 2023 was anything mentioned concerning AI or Large Language Models.
The Clarivate of Today: Built for Life Sciences with Cortellis
Clarivate PLC has integrated multiple platforms into their offering Cortellis, which integrated AI and LLM into the structured knowledge bases (see more at https://clarivate.com/products/cortellis-family/)
“Life sciences organizations are tasked, now more than ever, to discover and develop treatments that challenge the status quo, increase ROI, and improve patient lives. However, its become increasingly difficult to find, integrate and analyze the key data your teams need to make critical decisions and get your Cortellis products to patients faster.
Cortellis Competitive Intelligence: maximize ROI and improve patient outcomes
Cortellis Deals Intelligence: Portfolio Strategy and Business Development (find best deal)
Cortellis Clinical Intelligence: Clinical Trial Support and Regulatory
Cortellis Digital Health Intelligence: understand digital health ecosystem
Cortellis Drug Discovery: improve drug development speed and efficiency
MetaBase and MetaCore: integrated omics knowledge bases for drug discovery
Cortellis Regulatory: help with filings
Cortellis HTA: health tech compliance (HIPAA)
CMC Intelligence: new drug marketing
Generics Intelligence
Drug Safety Intelligence: both preclinical safety and post marketing pharmacovigilence
Watch Videos on Cortellis for Drug Discovery
Watch Video on Qiagen Site to see how Cortellis Integrates with Qiagen Omics Platform IPA with Clarivate Meta Core to gain more insights into genomic and proteomic data
Understand complex ‘omics data to accelerate your research
Discover why QIAGEN Ingenuity Pathway Analysis (IPA) is the leading pathway analysis application among the life science research community and is cited in tens of thousands of articles for the analysis, integration and interpretation of data derived from ‘omics experiments. Such experiments include:
RNA-seq
Small RNA-seq
Metabolomics
Proteomics
Microarrays including miRNA and SNP
Small-scale experiments
With QIAGEN IPA you can predict downstream effects and identify new targets or candidate biomarkers. QIAGEN Ingenuity Pathway Analysis helps you perform insightful data analysis and interpretation to understand your experimental results within the context of various biological systems.
Articles Relevant to Drug Development, Natural Language Processing in Drug Development, and Clarivate on this Open Access Scientific Journal Include:
Live Notes from JP Morgan Healthcare Conference Virtual Endpoints Preview: January 8-9 2024
Reporter: Stephen J. Williams, Ph.D.
Endpoints at #JPM24 | Primed to unlock biopharma’s next dealmaking wave
Endpoints at JP Morgan Healthcare Conference
January 8-9 | San Francisco, CA80 Mission St, San Francisco, CA
An oasis has emerged in the biopharma money desert as backers look to replenish capital — still, uncertainty remains on whether it’s a mirage or the much needed dealmaking bump the industry needs. Yet spirits run high as JPM24 marks the triumphant return of inking strategic alliances and peering into the industry crystal ball — while keeping an eye out for some major M&A.
We’re back live from San Francisco for JPM Monday and Tuesday — our calendar of can’t-miss panels and fireside chats will feature prominent biopharma leaders to watch. The Endpoints Hub provides the ultimate coworking space with everything you need — 1:1 and group meeting spots plus guest pass capabilities and more. Join us in-person at the Endpoints Hub or watch online to stay plugged into all the action.
8 JAN
Welcome remarks
8:05 AM – 8:25 AM PST
Pfizer vet Mikael Dolsten has some thoughts on Big Pharma R&D
Endpoints News founding editor John Carroll will sit down with longtime Pfizer CSO Mikael Dolsten to talk about Pfizer’s pipeline, what he’s learned on the job about preclinical research and development and what’s ahead for the pharma giant in drug development and deals.
Mikael Dolsten
Chief Scientific Officer, President, Pfizer Research & Development
Pfizer
Pfizer Mikael Dolsten: Pfizer produced a series of AI generated molecules with new properties. Sees rapid adoption of AI in the area of drug discovery and molecular design.
8:25 AM – 9:05 AM PST
What pharma wants: The industry’s dealmakers look ahead at 2024
The drug industry’s appetite for new assets hasn’t slowed down. Top business development execs will give their outlook on the year, what they’re looking for and how they see the market.
Glenn Hunzinger
Pharmaceutical & Life Sciences Consulting Solutions Leader
PwC US
Rachna Khosla
SVP, Head of Business Development
Amgen
James Sabry
Global Head of Pharma Partnering
Roche
Devang Bhuva
SVP, Corporate Development
Gilead Sciences, Inc.
Endpoints News
Dealmaking panel
Glenn Hunzinger: if you do not have a GLP1 will have a tough time getting a good market price for your company; capital markets are not where they want to be; sees a tough deal making climate like last year. The problem with many biotech companies are they are coming earlier to the venture capital because of greater funding needs and so it is imperative that they articulate the potential of their company in scientific detail
Rachna Khosla: Make sure your investors are not just CAPITAL PARTNERS but use their expertise and involve them in development issues you may have, especially ones that a young firm will face. The problem is most investments assume what the future looks like (for example how antibody drug conjugates, once a field left for dead, has been rejuvenated because of advances in chemistry).
James Sabry: noted that cardiac and metabolic drugs are now at the focus of many investors, especially with the new anti-obesity drugs on market
Devang Bhuva: Most deals we see start as collaborations or partnerships. You want to involve an alliance management team early in the deal making process. This process could take years.
9:05 AM – 9:20 AM PST
The IPO: How Apogee Therapeutics went public in the most challenging market in years
Not many biotechs went public in 2023. And of those that did, not many have had a great time of it. Apogee is the exception and our panel will offer a behind-the-scenes look at their decision to enter the market and what life is like as a young public company.
Michael Henderson
CEO
Apogee Therapeutics
Kyle LaHucik
MODERATOR
Senior Reporter
Endpoints News
Michael Henderson: Not many biotech IPOs deals happened in 2023. Michael feels it is because too many biotechs focused on building platforms, which was a hard sell in 2023. He felt not many biotechs had clear milestones and investors wanted a clear primary validated target. He said many biotech startups are in a funding crunch and most need at least $440M on their balance sheet to get to 2026.
9:50 AM – 10:10 AM PST
Top predictions for biotech in 2024
Catalent CEO Alessandro Maselli will be back at the big JPM healthcare confab to talk with Endpoints News founder John Carroll about their top predictions of what’s coming up for the biotech industry in 2024. The stakes couldn’t be higher as the industry grapples with headwinds and new opportunities in a gale of market forces. Two top observers share their thoughts on the year ahead.
Alessandro Maselli
President & CEO
Catalent
10:15 AM – 10:35 AM PST
Innovation at a crossroads: Keys to unlocking the value of science and technology
The industry has long discussed the promise of technology and the acceleration it provides in scientific advancement and across the industry value chain. However, the promise of its impact has yet to fully be realized. This discussion will outline the keys to unleashing this promise and the implications and actions to be taken by the biopharmaceutical companies across the industry.
Ray Pressburger
North America Life Sciences Industry Lead & Global Life Sciences Strategy Lead
Accenture
SPONSORED BY
10:35 AM – 11:05 AM PST
Activism and Investing: In conversation with Elliott Investment Management’s Marc Steinberg
Elliott has been behind many of 2023’s highest-profile healthcare investments, including multiple activist engagements and taking Syneos Health private. What has made large healthcare companies such interesting investment opportunities for firms like Elliott? What’s Elliott’s investing strategy in healthcare? And what should companies expect when an activist calls?
Marc Steinberg
Senior Portfolio Manager
Elliott Investment Management
Andrew Dunn
MODERATOR
Biopharma Correspondent
Endpoints News
11:05 AM – 11:35 AM PST
Creating ROI from AI
AI is predicted to transform the way drugs are made, from discovery to clinical trials to market. But beyond the initial hype and early adoption, where has AI made meaningful contributions to R&D? How does it help drug developers advance science? Endpoints publisher Arsalan Arif is convening a panel of leading experts to discuss the state of AI in the pharmaceutical landscape and the outlook for 2024. How does AI impact the drug pipeline, from the early steps of discovery to reducing trial failure rate?
Thomas Clozel
Co-Founder & CEO
Owkin
Venkat Sethuraman
SVP, Global Biometrics & Data Sciences
Bristol Myers Squibb
Frank O. Nestle
Global Head of Research & Chief Scientific Officer
Sanofi
Matthias Evers
Chief Business Officer
Evotec
Arsalan Arif
MODERATOR
Founder & Publisher
Endpoints News
SPONSORED BY
11:35 AM – 12:00 PM PST
Biopharma’s dealmaker: Behind the scenes with Centerview Partners co-president Eric Tokat
Almost every major biopharma deal in 2023 had Centerview’s name attached to it. And much of the time, Eric Tokat was the banker making those deals happen. Hear his outlook for 2024, how transactions are getting done and what’s placed his firm at the center of so much action.
E. Eric Tokat
Co-President, Investment Banking
Centerview Partners
CenterView Partners Eric Tokat feels dealmaking will improve in 2024, given the recent flurry of dealmaking at end of last year and right before main JPM Healthcare Conference. He says Centerview wants to help the biotechs they invest in on their strategic path. This may translate into buyers more actively involved (more than startups want) and buyers now are in the drivers seat as far as the timeline of deals and development.
Is the megamerger dead for this year? He says it is very hard to see two major mergers happening but there will be many smaller and mid size biotech deals happening, but these deals will be more speculative in nature.. The focus for large pharma is top line growth. Most of the buyers have an infrastructure and value is more of buying and dropping it in their business so there is now a huge emphasis on due diligence on whether synergies exist or not
12:00 PM – 12:30 PM PST
Founder, legend, leader: In conversation with Nobel laureate Carolyn Bertozzi
Carolyn Bertozzi’s discoveries around bioorthogonal chemistry won the Nobel Prize in Chemistry in 2022 and are at the heart of new therapies being tested in patients. Join us as we discuss what inspires her and where she sees the next big advances.
Carolyn Bertozzi
Prof. of Chemistry, Stanford University and Baker Family Director of Sarafan ChEM-H
Stanford University
Nicole DeFeudis
MODERATOR
Editor
Endpoints News
Bioorthogonal chemistry: class of high yielding chemical reactions that proceed rapidly and selectively in biological environments without side reactions toward endogenous functions. This is also a type of ‘click chemistry’ in biological system where only specifically alter the biomolecule of interest.
Orthogonal: two chemicals not interacting with each other
Dr. Bertozzi noted she has started a new Antibody-Drug-Conjugate (ADC) company which involves designing with biorthogonal chemistry to make new functional molecules with varying properties
She noted hardly any biologists knew anything about glycobiology when she first started. However now she feels pharma and academia are working very well with each other
Bioorthogonal and Click Chemistry Curated by Prof. Carolyn R. Bertozzi, 2022 winner of the Nobel Prize in Chemistry
The 2022 Nobel Prize in Chemistry has been awarded jointly to ACS Central Science Editor-in-Chief, Carolyn R. Bertozzi of Stanford University, Morten Meldal of the University of Copenhagen, and K. Barry Sharpless of Scripps Research, for the development of click chemistry and bioorthogonal chemistry.
To celebrate this remarkable achievement, 2022 Nobel Prize winner Professor Carolyn R. Bertozzi has curated this Bioorthogonal and Click Chemistry Virtual Issue, highlighting papers published across ACS journals that have built upon the foundational work in this exciting area of chemistry.
Bioorthogonal reactions are chemical reactions that neither interact with nor interfere with a biological system. The participating functional groups must be inert to biological moieties, must selectively reactive with each other under biocompatible conditions, and, for in vivo applications, must be nontoxic to cells and organisms. Additionally, it is helpful if one reactive group is small and therefore minimally perturbing of a biomolecule into which it has been introduced either chemically or biosynthetically. Examples from the past decade suggest that a promising strategy for bioorthogonal reaction development begins with an analysis of functional group and reactivity space outside those defined by nature. Issues such as stability of reactants and products (particularly in water), kinetics, and unwanted side reactivity with biofunctionalities must be addressed, ideally guided by detailed mechanistic studies. Finally, the reaction must be tested in a variety of environments, escalating from aqueous media to biomolecule solutions to cultured cells and, for the most optimized transformations, to live organisms.
9 JAN
9:40 AM – 10:10 AM PST
Biotech downturn survival school
Our panelists have seen the worst, and made it through to the other side. Join us for downturn survival school as our panelists talk about what sets apart the ones who make it through tough times.
These panalists think it will be specialist capital year to shine while the general capital is still sitting on the sidelines
JJ Kang
CEO
Appia Bio
“2023 was a tough year while 2020 was a boon year to start a company. We will continue to see these cycles; many of these new CEOs have never seen a biotech downturn yet and may not know how to preserve capital for the downturn”.
“Doing a partnership with Kite Pharmaceuticals early in our startp allowed us to get work done without risking a lot of capital, even if it means equity and asset dilution. That makes sense. However even if you are small insist on being an equal partner.”
“There are many investors we talk to who do not want to invest in cell therapy. Too risky now”
Carl Gordon
Managing Partner
OrbiMed Advisors
There are many macroeconomic factors affecting investment and capital today which will carry on through 2024. Not raising money when you do not need money is a bad philosophy. Always bbe raising captial. This is especially true when you have to rely on hedge funds. Parnerships howeve are sometimes the only way for small biotechs to leverage their strengths.
Joshua Boger
Executive Chair
Alkeus Pharmaceuticals, Inc.
Boger: Expect volatility for 2024. This environment feels very different than past downturns.
Even in downturns there is still lots of capital; remember access to human capital is better in a downturn and is easier to access; however it has become harder to get drug approvals
The panelists agree that access to capital and funding will be as tricky in 2024 than 2023. They did
suggest that a new funding avenue, private credit, may be a source of capital. This is discussed below:
When thinking about a private alternative investment asset class, the first thing that springs to mind is private equity. But there’s one more asset class with the word private in its name that has recently gained much attention. We’re talking about private credit.
Indeed, this once little-known investment strategy is now growing rapidly in popularity, offering private investors worldwide an exciting opportunity to diversify their portfolio with, in theory, less risky investments that yield significant returns.
Private credit investments refer to investors lending money to companies who then repay the loan at a given interest rate within the predetermined period.
The private credit market has grown significantly over the past years, rising from $875 million in 2020 to $1.4 trillion at the beginning of 2023.
Please WATCH VIDEO BY GOLDMAN SACHS ON PRIVATE CREDIT
The New Molecule: How breakthrough technologies are actually changing pharma R&D
Join us for a look at how AI, machine learning and generative technologies are actually being applied inside drugmakers’ labs. We’ll explore how new technologies are being used, their implications, how they intersect with regulatory and IP issues and how this fast-changing field is likely to evolve.
Kailash Swarna
Managing Director & Global Life Sciences Clinical Development Lead
Accenture
Artificial Intelligence is making impact in a grand way on biology in three aspects:
Speeding up target validation: now we can get through 300 molecules a day
Predicition like AlphaFold is doing; molecular simulations
Document submission especially with regulatory and IND submissions
Pamela Carroll
COO
Isomorphic Labs formerly of AlphaFold
We were first with Novartis at last year JPM and was one year old but parnering with them in that initial year was very important for sealing the deal.
They are looking now at neurologic diseases like ALS. She wondered whether ALS is actually multiple diseases and we need to stratify patients like we do in oncology trials. Their main competion is the whole tech world like Amazon, Google and other Machine Learning companies so being a tech player in the biotech world means you are not just competing with other biotechs but large tech companies as well.
Jorge Conde
General Partner
Andreessen Horowitz
Need is still great for drug discovery; early adopters show AI tools can be used in big pharma. There are lots of applications of AI in managing care; a lot of back office applications including patient triaging. He does not see big AI mergers with pharma companies – this will be mainly partnerships not M&A deals
Alicyn Campbell
Chief Scientific Officer
Evinova, a Healthtech Subsidiary of the AstraZeneca Group
There is a need to turn AI for real world example. For example AI tools were used in clinical trials to determine patient cohorts with pneumonitis. At Evinova they are determining how AI can hel[p show clinical benefit with respect to efficacy and safety
Joshua Boger at #JPM24 (Brian Benton Photography)
January 12, 2024 09:06 AM ESTUpdated 10:00 AM PeopleStartups
Vertex founder Joshua Boger on surviving downturns, ‘painful’ partnerships, and the importance of culture: #JPM24
While the JP Morgan Healthcare Conference was full of voices of measured optimism, rooting for the market to bounce back in 2024, one longtime biotech leader warned against setting any firm expectations.
Instead of predicting when the downturn may end, Vertex Pharmaceuticals founder Joshua Boger said he advises biotech leaders to expect — and plan for — volatility. Speaking Tuesday on an Endpoints News panel alongside OrbiMed’s Carl Gordon and Appia Bio CEO JJ Kang, Boger shared lessons learned on surviving downturns, striking pharma deals, and the importance of keeping a company’s culture based on his two decades of founding and leading Vertex as CEO from 1989 to 2009. The 72-year-old is now serving as executive chairman of Alkeus Pharmaceuticals, a startup developing a rare disease drug.
“I never experienced a straight line up,” Boger said. “Everything had its cycles, and it was how you respond to the cycle, not by predicting when the end is going to be, but just by responding to the present situation.”
At Boger’s first appearance at the JP Morgan conference in 1991, he said the conference’s theme was the end of biotech financing. Just a few months later, Regeneron successfully went public, rapidly changing the outlook for the whole field.
“We had no idea we were ever going to take public money,” he said. “When Regeneron did their IPO, we went, ‘Whoa, there’s something happening here,’ and we pivoted quickly.”
Vertex went public later that year. Throughout his 20-year tenure, Boger said no pharma company ever made an acquisition offer for Vertex, which now commands a market value of $110 billion and recently won the first FDA approval for a CRISPR gene editing therapy.
“We had an uber corporate policy to always make ourselves more expensive than anyone would stomach,” Boger said.
However, Vertex did strike a range of partnerships with Big Pharmas, which Boger described as a painful but necessary part of running a biotech startup.
“It’s impossible for a partnership not to slow you down,” he said. “You can and should try as hard as you can not to do that, but just count on it. They’ll slow you down.”
Boger said startups should insist on being equal partners in pharma deals, at least making sure they have a seat at a partner’s development meetings.
“Realize they’re going to be painful, it’s going to be horrible, and you need to do it,” Boger said.
While Vertex suffered through layoffs, stock price plunges, and trial failures, Boger credited a focus on culture as key to its long-term success.
“It’s the most important ingredient for a successful company,” he said. “Technology is acquirable. Culture is not acquirable. There are 10 companies that will fail because of culture for every one that succeeds, and the successful companies in retrospect will almost always have special cultural aspects that kept them through those downtimes.”
JPM24 opens with ADCs the hottest ticket in San Francisco
The overall deal flow in biopharma tapered off in 2023 but the big companies sure know what they want (what they really, really want), according to a new report from J.P. Morgan.
And that’s antibody-drug conjugates, which drove a fourth-quarter spike in licensing deal proceeds and provided a glimmer of hope to an industry battered by outside forces and grim financing prospects.
J.P. Morgan’s annual 2023 Biopharma Licensing and Venture Report arrived on the eve of the firm’s famous conference, which is set to welcome thousands of attendees in San Francisco today—East Coast weather permitting.
2023 was tough, but clinical biotechs still had a lot of opportunities to wheel and deal, according to J.P. Morgan. While licensing deals, venture investments, M&A and IPOs were down overall in the fourth quarter, deal values stayed fairly high thanks to a flurry of late-stage tie ups.
Follow the Fierce team’s coverage of the 2024 J.P. Morgan Healthcare Conference here.
Biopharma licensing partnerships accounted for $63 billion in total value during the fourth quarter from 108 deals. Just one deal—Merck’s ADC partnership with Daiichi Sankyo—accounted for $22 billion of that. Another huge one was another ADC bet, with Bristol Myers Squibb signing on to work with SystImmune for a total value of $8.4 billion. If you exclude the Merck deal, the total value of these partnerships is still higher than the previous quarter, which ended with $32.1 billion.
The total number of licensing deals compares to 149 in the same quarter a year earlier, 195 for Q4 2021 and 223 for Q4 2022.
As for venture investments, the year closed out with $17 billion total across 250 rounds, thanks to $3.5 billion earned through 79 rounds in the last quarter. Aiolos Bio snagged the title of largest venture round of the quarter with $245 million, which also proved to be the largest series A, too.
There was just one IPO in all of the fourth quarter—Cargo Therapeutics making the plunge for $300 million—and 13 overall for the year. It’s a far cry from the heyday of 2021 and experts are still unsure what 2024 will hold. J.P. Morgan reported $2.5 billion raised from 12 completed biopharma IPOs for the year on Nasdaq and NYSE. Nine out of the 12 companies had clinical programs when they took the leap to the public markets. As of December 13, five of the companies were trading above their IPO price.
As for M&A, December saw a rush of Big Pharmas snapping up companies around Christmas. J.P. Morgan tallied the fourth quarter at $37.6 billion and $128.8 billion across 112 total acquisitions for all of 2023.
AbbVie was the top buyer of the quarter with the two largest acquisitions thanks to the $10 billion outlay for ImmunoGen and $8.7 billion buy of Cerevel Therapeutics.
All of this adds up to 270 total deals in the fourth quarter total, which is lower than the third quarter which exceeded 300.
J.P. Morgan sees some big potential for smaller biopharmas looking for licensing partners, as Big Pharmas have been handing out larger upfront payments for the deals they really want.
Cancer was once again the most in-demand therapeutic areas, reaching a new height of $86.1 billion in 2023. Followed by $21.1 billion for neurological disorders.
For More Articles on Real Time Conference Coverage in this Open Access Scientific Journal see:
Reporter: Arav Gandhi, Research Assistant 2, Domain Content: Cardiovascular Diseases, Series A
AI, also known as artificial intelligence, has not only taken over the objectives of major technology giants such as Google and Microsoft, but also introduced itself to many fields, one of which being the medical field. Several advancements have been made to improve the way medical professionals view patients and their ability to see beyond their own perspective. One such field within medicine that has been primarily transformed is cardiology.
Cardiology is a branch of medicine dealing with all diseases and possible abnormalities found within the heart. For a medical professional, it can be viewed as a stressful occupation dependent on making the right diagnosis at the right time while a patient may view it as one of “the most unsettling moments” of their life hoping to receive the right treatment. But what if the pressure and uncertainty of cardiologists could be reduced? This is where artificial intelligence comes into play. Common medical devices such as ECGs to CT scans can be used to an extent beyond the capability of the human mind. With artificial intelligence, it can capture invaluable data with concepts such as machine learning geared to develop more accurate diagnostics as it receives more data. This not only improves the ability to which clinicians can understand the results of a test, but improve overall patient care: the most critical aspect of medicine. There are several examples by which artificial intelligence aids cardiologists.
If a patient is found with heart palpitations, chest pain or any other cardiac symptoms, an accurate diagnosis with respect to time is of the essence. Although technologies such as portable ultrasounds output results and observations, it is the smart use of data generated that allows for a significant decrease in uncertainty than before. Artificial intelligence is able to automate such measurements and interpretations complexifying the data to reveal much more beyond the human mind. For instance, a 3D CT angiography can show coronary stenosis and a cardiac MRI can show the downstream effect. By implementing artificial intelligence, it can interpret both results in relation to each other to develop a diagnosis and allow cardiologists to understand the patient beyond their own intuition. Not only does artificial intelligence play an important role in interpretation of results, but also in treatment.
After the diagnosis of the patient, there must be a treatment plan optimized to efficiency of time and risk tailored to the patient itself. Artificial intelligence showcases its true power of precision when subject to the cases of patients affected by disease. For instance, through guided imaging solutions such as X-ray, AI is able to explore all possible procedures from minimally invasive to complex methods. Moreover, it even allows clinicians to understand the full perspective of the procedure and determine the best possible tools to use. Yet, AI proves to be helpful beyond the operation room.
With AI, it can reduce clinician and patient exposure to radiation while still obtaining an optimal image quality. Not only has it contributed to safety, but AI has allowed for a better understanding of patient flow and issue real-time notifications so clinicians can prioritize which patients need their attention. With the cardiology department constantly going through issues throughout a day, AI can help reduce this and ease the stress at which the clinicians go through.
Although many fear that artificial intelligence may replace clinicians entirely, this is merely a misconception by which clinicians rather can use artificial intelligence to improve their own view of a patient. Not only does this improve access to quality care, but it also gives those in the field of medicine a piece of mind knowing that they are able to consider all possibilities before developing treatment on a patient.
To learn more about the topic, check out the article below.
Overview of Alzheimer’s Disease and Novel Treatments Targeting Beta-Amyloid Deposits
Reporter: Sharada Kittur, Research Assistant 1, Synthetic Biology in Drug Discovery
Alzheimer’s disease (AD) is a common type of dementia. People diagnosed with this disease suffer memory loss. Severe forms of the condition prevent the patients from responding to the environment. Alzheimer’s disease patients may also experience difficulty completing basic tasks, decreased or poor judgement as their executive function competence declines. Frequent changes in mood, personality, or behavior. AD is the 7th leading cause of death in the United States, and the 5th leading cause of death for adults aged 65 and over. Unlike cancer and heart disease, whose death rates are declining, the number of people struggling with Alzheimer’s disease is projected to increase in the coming years.
Currently, there are no cures for the disease. Many of the drugs on the market target only symptoms of the disease. The key mechanism of action (MOA) of AD drugs is inhibiting acetylcholinesterase. Acetylcholinesterase (AChE) is an enzyme that breaks down a neurotransmitter called acetylcholine (Ach), which is an important factor for memory functions. On average, Alzheimer’s disease patients have lower concentrations of acetylcholine. In order to treat this biomarker, scientists found molecules that can inhibit AChE, and reduce the breakdown of acetylcholine, thus improving the memory of patients with Alzheimer’s disease by enabling average levels of Ach. Some examples of AChE inhibitors currently on the market are
donepezil,
rivastigmine, and
galantamine.
One of the main causes of Alzheimer’s disease is believed to be the buildup of beta-amyloid plaques in the brain. Beta-amyloid is a toxic protein that is normally produced in small amounts in the brain. Then microglia, a type of macrophages in the nervous system, clear out the beta-amyloid deposits. In patients with Alzheimer’s disease, the microglia can’t clear away the beta-amyloid, and this obstructs neural function and attacks neurons. The cause of the microglia’s malfunction is still unknown, but it could be due to a gene called TREM2, that tells the microglia to clear the beta-amyloid proteins. When TREM2 doesn’t function properly, the microglia collects all of the beta-amyloid, but isn’t able to dispose of it. It then releases inflammatory chemicals, which increase the production of the amyloid precursor protein (APP). This also increases the production of β-secretase and γ-secretase, enzymes that form beta-amyloid by breaking down APP. This further exacerbates the problem.
On July 06, 2023, the Food and Drug Administration (FDA) fully approved Leqembi (lecanemab-irmb) to treat Alzheimer’s disease. Leqembi is a monoclonal antibody that specifically targets beta-amyloid proteins in the brain. It binds to the beta-amyloid proteins and clears them. This is very promising as in placebo-controlled clinical trials, it significantly decreased the beta-amyloid deposits in 18 months, and delayed cognitive decline by 5.3 months. It’s the first beta-amyloid targeting drug that was approved by the FDA as a Traditional Approval.
Leqembi is not a cure, however. It significantly slows down the mental function deterioration of the patients, but hasn’t been shown to fully maintain it at the current level over time. In addition, Leqembi has many side effects, such as headaches, and presents amyloid-related imaging abnormalities (ARIAs). ARIAs can cause swelling and bleeding in parts of the brain, but they should be temporary for most patients. Severe ARIAs only occur in a very small percentage of patients.
As researchers make progress in understanding the complex causes of Alzheimer’s disease, new treatments that are developed can help improve the lives of millions of people worldwide.
Wang, Shaoxun, et al. “Is Beta-Amyloid Accumulation a Cause or Consequence of Alzheimer’s Disease?” Journal of Alzheimer’s Parkinsonism & Dementia, U.S. National Library of Medicine, 17 Nov. 2016, www.ncbi.nlm.nih.gov/pmc/articles/PMC5555607/
The Implications and Association of Stair Climbing with Atherosclerotic Cardiovascular Disease (ASCVD)
Reporter: Arav Gandhi, Research Assistant 2, Domain Content: Cardiovascular Diseases, Series A
Atherosclerotic Cardiovascular Disease (ASCVD) is a condition in which cholesterol builds up in the arteries to an extent that develops long-term complications for other areas of the body and in some cases emergence of symptoms such as chest pain, dizziness, and shortness of breath are presented and reported to PCPs. This can cause a strain on daily activities such as walking and especially may be noticed when climbing stairs which represents a form of exertion related to elevation. To further understand the significance of ASCVD upon daily activities, Zimin Song et al. (2023), using a sample of 458,860 participants (55.9% female) from the UK Biobank, aimed to evaluate the intensity of stair climbing and the present risk of ASCVD. All participants had a history of ASCVD, put at risk for ASCVD, or had a recorded levels of genetic risk.
Prior to the study, all participants underwent blood tests and other necessary measurements. During the study, the researchers assessed the intensity of stair climbing through a self-reported structure in which participants were asked a set of questions addressing the duration of climbing stairs and whether they continued to climb. Additional questionnaires were administered to collect sociodemographic characteristics, lifestyle factors, and health status. Following the conclusion of the study, the researchers found, with an application of statistical analysis, that over a period of 12.5 years individuals with a higher intensity of stair climbing were of younger age, female, and non-regular smokers. Moreover, those individuals exemplified a higher level of education and income along with healthier dietary habits and prolonged exercise durations. Beyond demographic characteristics, researchers found that when individuals especially those with a family history of ASCVD increased the intensity of stair climbing, the risk of ASCVD was reduced. This remained consistent across other groups of participants finding an association between the intensity of stair climbing and the risk of ASCVD.
Ultimately, given the large sample of UK adults, the findings conclude that high-intensity climbing, or climbing more than five flights of stairs daily was associated with over a 20% reduction in risk of obtaining ASCVD. Despite the variance of disease tendencies among individuals, active engagement in stair climbing can significantly reduce the risk of ASCVD in contrast to those who discontinued stair climbing leading to a higher risk of ASCVD. However, the intensity of stair climbing was limited to a threshold in which it no longer decreased the risk of ASCVD.
Simply climbing stairs can be considered a prevention strategy for ASCVD, but the application of active engagement in physical activities may be associated with reducing the risk of obtaining other diseases. For instance, the positive effects of stair climbing on reducing the risk of ASCVD may also apply to
atrial fibrillation,
diabetes, and
hypertension.
Other existing studies find associations with a
lower risk of metabolic syndrome, and even
mortality.
In contrast to structured sports and exercise, stair climbing proves to be an effective method with minimal equipment and low cost that allows an individual to practice cardiorespiratory fitness reducing the risks of various diseases while improving their overall standard of life. Although further studies need to be conducted on the extent to which intense stair climbing improves different areas of the body and what diseases it helps prevent, current studies prove the effects of stair climbing to be beneficial to an extent in which individuals should be encouraged in incorporate it in their daily routine yielding both short-term and long-term benefits.
To learn more about the topic, check out the article below.
SOURCE
Song Z, Wan L, Wang W, et al. Daily stair climbing, disease susceptibility, and risk of atherosclerotic cardiovascular disease: A prospective cohort study. Atherosclerosis. 2023:117300. doi: 10.1016/j.atherosclerosis.2023.117300
Other related articles published in this Open Access Online Scientific Journal include the following:
Archive for the ‘Atherogenic Processes & Pathology’ Category
The Nobel Prize in Physiology or Medicine 2023, jointly to Katalin Karikó and Drew Weissman for their discoveries concerning nucleoside base modifications that enabled the development of effective mRNA vaccines against COVID-19
Reporter: Aviva Lev-Ari, PhD, RN
The breakthrough
Karikó and Weissman noticed that dendritic cells recognize in vitro transcribed mRNA as a foreign substance, which leads to their activation and the release of inflammatory signaling molecules. They wondered why the in vitro transcribed mRNA was recognized as foreign while mRNA from mammalian cells did not give rise to the same reaction. Karikó and Weissman realized that some critical properties must distinguish the different types of mRNA.
RNA contains four bases, abbreviated A, U, G, and C, corresponding to A, T, G, and C in DNA, the letters of the genetic code. Karikó and Weissman knew that bases in RNA from mammalian cells are frequently chemically modified, while in vitro transcribed mRNA is not. They wondered if the absence of altered bases in the in vitro transcribed RNA could explain the unwanted inflammatory reaction. To investigate this, they produced different variants of mRNA, each with unique chemical alterations in their bases, which they delivered to dendritic cells. The results were striking: The inflammatory response was almost abolished when base modifications were included in the mRNA. This was a paradigm change in our understanding of how cells recognize and respond to different forms of mRNA. Karikó and Weissman immediately understood that their discovery had profound significance for using mRNA as therapy. These seminal results were published in 2005, fifteen years before the COVID-19 pandemic.
The Current Impact and Future of Technology within Cardiovascular Surgery
Reporter: Arav Gandhi, Research Assistant 2, Domain Content: Cardiovascular Diseases, Series A
Medical professionals have been able to explore new methods and strategies to tackle complex medical conditions, especially with the limitations of other pre-existing conditions. For instance, through recent cardiology advancements, if the patient requires a heart transplant due to heart failure disease and is unable to undergo a human donor heart transplant as a result of pre-existing disease conditions or existing internal bleeding complications, there is a greater alternative to leaving it untreated. Medical professionals developed alternatives to humman donor transplants. One such a solution is transplanting a genetically modified pig heart, a new advanced experimental procedure that has been used over recent cases. Researchers continue to develop solutions that not only presents an alternative to current methods but also continue to maximize the potential of medical devices technology and of our understanding of medicine.
Recently, cardiologists at Henry Ford Health Hospital found themselves as the first physicians in the United States to employ an investigational device to treat a patient with severe tricuspid regurgitation. Having never been experimented upon prior to the situation, the K-Clip Transvascular Tricuspid Repair System utilizes a corkscrew anchor, which then clips the ring-shaped region of the valve. Similar to most dire situations where new technology is used, the patient, an 85-year-old male, continued to experience worsening symptoms for an entire year. His tricuspid valve, key in ensuring blood flow to the right ventricle and then to the pulmonary valve, was enlarged from his condition, resulting in the mass of his heart tripling in size. Cardiologists were then prompted to either utilize the new procedure or go untreated. With optimism, the cardiologists selected the procedure and applied a unique approach of an incision through the neck to reduce further risks of opening the chest and placed the device using real-time 3D imaging and 4D modeling. The medical professionals followed a minimally invasive procedure through the neck in contrast to traditional open-heart surgery and effectively employed recent advancements in imaging and modeling to ensure precision when planting the device, a new artificial tricuspid valve. The patient was later reported to have experience improve in the valve condition and a significant decrease in leakage, along with an improvement in his overall quality of life.
As a result, researchers should continue to focus not only on understanding undiscovered diseases and complications but also on developing alternative solutions to resolve cases in which the best practice approach can not be applied.
With the advancements in technology, the true extent of its application can not be discovered without experimentation and the application of imaging and other devices to resolve certain conditions. Beyond the technology itself, the introduction of new methods allows for less costly treatment plans, aiding especially those who come from a low-income background and currently struggle to afford basic healthcare. In the united States they are covered by MedicAid at all ages and by Medicare at age 65 and beyond. This is not the case in many countries in the World excluding Europe. The overall development of the field of medicine through advancement of medical technologies can indirectly allow for a improvement to the overall Global health care delivery and ascertain an increased life expectancies. This is primarily true, chiefly, in developing countries where established surgeries to resolve complex medical conditions still have the ability to achieve life-changing quality of life and longevity.
To learn more about the topic, check out the article below.
Chapter 13: Valve Replacement, Valve Implantation and Valve Repair
The Voice of Series A Content Consultant: Justin D. Pearlman, MD, PhD, FACC
As catheter techniques evolved to compete with bypass surgery they progressed from balloon cracking of obstructive lesions (POBA=plain old balloon angioplasty) to placement of stents (wire fences). Surgeons sometimes use in-stent valves, and now devices analogous to in-stent valves can be placed by catheter for valve replacement in patients with too much co-morbidity to go through heart surgery. Aortic valve replacement by stent (TAVR) has had sufficient success to be considered for all patients who have sufficient impairment to merit intervention. The diameter is large, so a vascular surgeon participates in the arterial access and repair of the access site.
13.5 Tricuspid Valve
13.5.1 First-in-Man Mitral Valve Repairs Device used for Tricuspid Valve Repair: Cardioband used by University Hospital Zurich Heart Team
The Continued Impact and Possibilities of AI in Medical and Pharmaceutical Industry Practices
Reporter: Adam P. Tubman, MSc Biotechnology, Research Associate 3, Computer Graphics and AI in Drug Discovery
Researchers have been able to discover many ways to incorporate AI into the practices of healthcare, both in terms of medical healthcare and also in pharmaceutical drug development. For example, given the situation where a doctor provides an inaccurate diagnosis to a patient because the doctor had an incomplete or inaccurate medical record/history, AI presents a solution that has the potential to rapidly and correctly account for human error and predict the correct diagnosis based on the patterns identified in other patient’s medical history to disease diagnosis indication. In the pharmaceutical industry, companies are changing and expanding approaches to drug discovery and development given the possibilities that AI can offer. One company, Reverie Labs, located in Cambridge, MA, is a pharmaceutical company utilizing AI for application of machine learning and computational chemistry to discover new possible compounds to be used in the development of cancer treatments.
Today, AI uses have had many other applications in medicine including managing healthcare data and performing robotic surgery, both of which transform the in-person patient and doctor experience. AI has even been used to change in-person cancer patient experiences. For example, Freenome, a company in San Francisco, CA uses AI in initial screenings, blood tests and diagnostic tests when a patient is being initially tested for cancer. The hope is that this technology will aide in speeding up cancer diagnoses and lead to new treatment developments.
The future will continue to bring many possibilities of AI, provided an acceptable level of accuracy is still maintained by AI technologies and that the technology remains beneficial. If research continues to focus on diagnosing diseases at a faster rate given the potential human errors in having an inaccurate or incomplete medical record upon diagnosis, AI could provide an improved experience for patients given the quicker diagnosis and treatment combined with less time spent either treating the wrong underlying condition or not knowing what condition to treat when accounting for an incomplete medical record. If this technology is proven to be successful not just in theory, but in practice, technology would then be available and could be beneficially applied to all diagnoses and treatment plans, across the world.
However, the reality regarding AI development is that its evolution depends on how much human effort is involved in its development. Therefore, the world won’t know or see the full benefits of AI until it is developed and actively applied. Similarly, the impact that AI will have in medical and pharmaceutical practices won’t be known until scientists fully develop and apply the technologies. Many possibilities, including a possible drastic lowering of the cost for pharmaceutical drugs across the board once drugs are much more readily discovered and produced, may carry a profound benefit to patients who currently struggle to afford their own treatment plans. Additionally, unforeseen advances in the medicinal and pharmaceutical fields because of AI development will lead to unforeseen effects on the global economy and many other life changing variables for the entire world.
For more information on this topic, please check out the article below.
Regulatory T cells (Tregs) are important for sperm tolerance and male fertility
Reporter and Curator: Dr. Sudipta Saha, Ph.D.
Regulatory T cells (Tregs) are specialized immune cells that modulate tissue homeostasis. They are a specialized subset of T lymphocytes that function as suppressive immune cells and inhibit various elements of immune response in vitro and in vivo. While there are constraints on the number or function of Tregs which can be exploited to evoke an effective anti-tumor response, sufficient expansion of Tregs is essential for successful organ transplantation and for promoting tolerance of self and foreign antigens. Current studies have provided evidence that a defect in the number or function of Tregs contributes to the etiology of several reproductive diseases.
In the male reproductive tract, prevention of autoimmune responses against antigenic spermatozoa, while ensuring protection against stressors, is a key determinant of fertility. Using an autoimmunity-induced model, it was uncovered that the role of Tregs in maintaining the tolerogenic state of the testis and epididymis. The loss of tolerance induced an exacerbated immune cell infiltration and the development of anti-sperm antibodies, which caused severe male subfertility. By identifying immunoregulatory mechanisms in the testis and epididymis.
Tregs modulate tissue homeostatic processes and immune responses. Understanding tissue-Treg biology will contribute to developing precision-targeting treatment strategies. Here, it was reported that Tregs maintain the tolerogenic state of the testis and epididymis, where sperm are produced and mature. It was found that Treg depletion induces severe autoimmune orchitis and epididymitis, manifested by an exacerbated immune cell infiltration [CD4 T cells, monocytes, and mononuclear phagocytes (MPs)] and the development of anti-sperm antibodies (ASA).
In Treg-depleted mice, MPs increased projections toward the epididymal lumen as well as invading the lumen. ASA-bound sperm enhance sperm agglutination and might facilitate sperm phagocytosis. Tolerance breakdown impaired epididymal epithelial function and altered extracellular vesicle cargo, both of which play crucial roles in the acquisition of sperm fertilizing ability and subsequent embryo development. The affected mice had reduced sperm number and motility and severe fertility defects.
Deciphering these immunoregulatory mechanisms may lead to the development of therapies for infertility and identifying potential targets for immuno-contraception. Ultimately, such knowledge fills gaps related to reproductive mucosa, which is an understudied facet of human male health.
We use prompt engineering to guide ChatGPT in the automation of text mining of metal–organic framework (MOF) synthesis conditions from diverse formats and styles of the scientific literature. This effectively mitigates ChatGPT’s tendency to hallucinate information, an issue that previously made the use of large language models (LLMs) in scientific fields challenging. Our approach involves the development of a workflow implementing three different processes for text mining, programmed by ChatGPT itself. All of them enable parsing, searching, filtering, classification, summarization, and data unification with different trade-offs among labor, speed, and accuracy. We deploy this system to extract 26 257 distinct synthesis parameters pertaining to approximately 800 MOFs sourced from peer-reviewed research articles. This process incorporates our ChemPrompt Engineering strategy to instruct ChatGPT in text mining, resulting in impressive precision, recall, and F1 scores of 90–99%. Furthermore, with the data set built by text mining, we constructed a machine-learning model with over 87% accuracy in predicting MOF experimental crystallization outcomes and preliminarily identifying important factors in MOF crystallization. We also developed a reliable data-grounded MOF chatbot to answer questions about chemical reactions and synthesis procedures. Given that the process of using ChatGPT reliably mines and tabulates diverse MOF synthesis information in a unified format while using only narrative language requiring no coding expertise, we anticipate that our ChatGPT Chemistry Assistant will be very useful across various other chemistry subdisciplines.
This publication is licensed for personal use by The American Chemical Society.
Concluding Remarks
Our research has successfully demonstrated the potential of LLMs, particularly GPT models, in the domain of chemistry research. We presented a ChatGPT Chemistry Assistant that includes three different but connected approaches to text mining with ChemPrompt Engineering: Process 3 is capable of conducting search and filtration, Processes 2 and 3 classify synthesis paragraphs, and Processes 1, 2, and 3 are capable of summarizing synthesis conditions into structured data sets. Enhanced by three fundamental principles of prompt engineering specific to chemistry text processing, coupled with the interactive prompt refinement strategy, the ChatGPT-based assistant has substantially advanced the extraction and analysis of the MOF synthesis literature, with precision, recall, and F1 scores exceeding 90%.
We elucidated two crucial insights from the data set of synthesis conditions. First, the data can be employed to construct predictive models for reaction outcomes, which shed light on the key experimental factors that influence the MOF crystallization process. Second, it is possible to create an MOF chatbot that can provide accurate answers based on text mining, thereby improving access to the synthesis data set and achieving a data-to-dialogue transition. This investigation illustrates the potential for rapid advancement inherent in ChatGPT and other LLMs as a proof of concept.
On a fundamental level, this study provides guidance on interacting with LLMs to serve as AI assistants for chemists, accelerating research with minimal prerequisite coding expertise and thus bridging the gap between chemistry and the realms of computational and data science more effectively. Through interaction and chatting, the code and design of experiments can be modified, democratizing data mining and enhancing the landscape of scientific research. Our work sets a foundation for further exploration and application of LLMs across various scientific domains, paving the way for a new era of AI-assisted chemistry research.
ChatGPT accelerates chemistry discovery for climate response, study shows
By Rachel Leven | August 7, 2023
Yaghi said. “AI has transformed many other sectors of our society – commerce, banking, travel. Why not transform science?”
These datasets on the synergy of the highly-porous materials known as metal-organic frameworks (MOFs) will inform predictive models. The models will accelerate chemists’ ability to create or optimize MOFs, including ones that alleviate water scarcity and capture air pollution. All chemists – not just coders – can build these databases due to the use of AI-fueled chatbots.
To help them teach ChatGPT to generate accurate and relevant information, they modified an approach called “prompt engineering” into “ChemPrompt Engineering.” They developed prompts that avoided asking ChatGPT for made up or misleading content; laid out detailed directions that explained to the chatbot the context and format for the response; and provided the large language model a template or instructions for extracting data.
The chatbot’s literature review – and the experts’ approach – was successful. ChatGPT finished in a fraction of an hour what would have taken a student years to complete, said Borgs, BIDMaP’s director. It mined the synthetic conditions of MOFs with 95% accuracy, Yaghi said.
2012pharmaceutical
Amandeep Kaur
Aashir Awan, Phd
Abhisar Anand
Adina Hazan
Alan F. Kaul, PharmD., MS, MBA, FCCP
alexcrystal6
anamikasarkar
apreconasia
aptubman
Arav Gandhi
aviralvatsa
David Orchard-Webb, PhD
danutdaagmailcom
Demet Sag, Ph.D., CRA, GCP
Dror Nir
dsmolyar
Ethan Coomber
evelinacohn
Gail S Thornton
Irina Robu
jayzmit48
jdpmd
jshertok
kellyperlman
Ed Kislauskis
larryhbern
Madison Davis
marzankhan
megbaker58
ofermar2020
Dr. Pati
pkandala
ritusaxena
Rick Mandahl
sjwilliamspa
Srinivas Sriram
stuartlpbi
Dr. Sudipta Saha
tildabarliya
zraviv06
zs22